Capacity and delay performance analysis for large-scale UAV-enabled wireless networks

IF 7.5 2区 计算机科学 Q1 TELECOMMUNICATIONS
Bonan Yin, Chenxi Liu, Mugen Peng
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引用次数: 0

Abstract

In this paper, we analyze the capacity and delay performance of a large-scale Unmanned Aerial Vehicle (UAV)-enabled wireless network, in which untethered and tethered UAVs deployed with content files move along with mobile Ground Users (GUs) to satisfy their coverage and content delivery requests. We consider the case where the untethered UAVs are of limited storage, while the tethered UAVs serve as the cloud when the GUs cannot obtain the required files from the untethered UAVs. We adopt the Ornstein-Uhlenbeck (OU) process to capture the mobility pattern of the UAVs moving along the GUs and derive the compact expressions of the coverage probability and capacity of our considered network. Using tools from martingale theory, we model the traffic at UAVs as a two-tier queueing system. Based on this modeling, we further derive the analytical expressions of the network backlog and delay bounds. Through numerical results, we verify the correctness of our analysis and demonstrate how the capacity and delay performance can be significantly improved by optimizing the percentage of the untethered UAVs with cached contents.
大规模无人机无线网络的容量和延迟性能分析
在本文中,我们分析了大型无人机(UAV)无线网络的容量和延迟性能,其中部署有内容文件的非系留和系留无人机与移动地面用户(GUs)一起移动,以满足其覆盖和内容交付要求。我们考虑了非系留无人机存储空间有限的情况,当GUs无法从非系留无人机获取所需文件时,系留无人机充当云。我们采用Ornstein-Uhlenbeck (OU)过程来捕捉无人机沿着GUs移动的移动模式,并推导出我们所考虑的网络的覆盖概率和容量的紧凑表达式。利用鞅理论的工具,我们将无人机的流量建模为一个两层排队系统。在此模型的基础上,进一步推导了网络积压和延迟边界的解析表达式。通过数值结果,我们验证了分析的正确性,并演示了如何通过优化具有缓存内容的无系留无人机的百分比来显着提高容量和延迟性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digital Communications and Networks
Digital Communications and Networks Computer Science-Hardware and Architecture
CiteScore
12.80
自引率
5.10%
发文量
915
审稿时长
30 weeks
期刊介绍: Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.
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